Interactive activation and competition networks
id:
interactive-activation-and-competition-networks-286-875855
title:
Interactive activation and competition networks
text:
Interactive activation and competition (IAC) networks are artificial neural networks used to model memory and intuitive generalizations. They are made up of nodes or artificial neurons which are arrayed and activated in ways that emulate the behaviors of human memory. The IAC model is used by the parallel distributed processing (PDP) Group and is associated with James L. McClelland and David E. Rumelhart; it is described in detail in their book Explorations in Parallel Distributed Processing: A
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Interactive_activation_and_competition_networks
date created:
date modified:
2022-09-26T10:02:42Z
main entity:
{"identifier":"Q6045355","url":"https://www.wikidata.org/entity/Q6045355"}
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fields total:
13
integrity:
13